Loading...
Loading...

Go to the content (press return)

Description of the Chinese-to-Spanish rule-based machine translation system developed with a hybrid combination of human annotation and statistical techniques

Author
Costa-jussà, Marta R.; Centelles, J.
Type of activity
Journal article
Journal
ACM transactions on asian language information processing
Date of publication
2015-11-01
Volume
15
Number
1
First page
1
Last page
13
DOI
https://doi.org/10.1145/2738045 Open in new window
Project funding
Integration of Machine Translation Paradigms
Repository
http://hdl.handle.net/2117/104736 Open in new window
URL
http://dl.acm.org/citation.cfm?id=2738045 Open in new window
Abstract
Two of the most popular Machine Translation (MT) paradigms are rule based (RBMT) and corpus based, which include the statistical systems (SMT). When scarce parallel corpus is available, RBMT becomes particularly attractive. This is the case of the Chinese--Spanish language pair. This article presents the first RBMT system for Chinese to Spanish. We describe a hybrid method for constructing this system taking advantage of available resources such as parallel corpora that are used to extract dict...
Citation
Ruiz, M., Centelles, J. Description of the Chinese-to-Spanish rule-based machine translation system developed with a hybrid combination of human annotation and statistical techniques. "ACM transactions on asian language information processing", 1 Novembre 2015, vol. 15, núm. 1, p. 1-13.
Keywords
Chinese-to-Spanish, Experimentation and languages, Rule-based machine translation, Statistical techniques
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

Attachments